Epidemiology. 1998 Sep;9(5):563-6.

Software for hierarchical modeling of epidemiologic data.

Source

Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH 44109, USA.

Erratum in

Epidemiology 1999 Jul;10(4):470.

Abstract

Hierarchical models can provide more reasonable and stable parameter estimates than conventional analytical approaches. This technique also deals with problems of multiple comparisons and allows one to model multilevel data within a hierarchical framework. Hence, one would anticipate a surge in applying hierarchical models to epidemiologic data. Difficulties in fitting hierarchical models, however, seem to have limited their use. To help address this problem, we describe the existing software packages that one can use to fit hierarchical models. Since these packages have limited familiarity and applicability in epidemiology, we also present SAS code for analyzing epidemiologic data with hierarchical models. These results allow epidemiologists to fit hierarchical models with readily available software.

PMID:: 9730038; [PubMed - indexed for MEDLINE]

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Research Support, U.S. Gov't, P.H.S.

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Grant Support

CA73270/CA/NCI NIH HHS/United States

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